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Meeting ReportOncology, Basic Science Track

An evaluation of reference tissue normalization in quantitative 18F-NaF PET/CT

Christie Lin, Timothy Perk, Tyler Bradshaw, Jens Eickhoff, Michael Morris, John Humm, Steven Larson, Andrea Apolo, William Dahut, Scott Perlman, Glenn Liu and Robert Jeraj
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 665;
Christie Lin
3University of Wisconsin - Madison Madison WI United States
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Timothy Perk
3University of Wisconsin - Madison Madison WI United States
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Tyler Bradshaw
3University of Wisconsin - Madison Madison WI United States
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Jens Eickhoff
4Biostatistics & Medical Informatics University of Wisconsin - Madison Madison WI United States
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Michael Morris
1Memorial Sloan - Kettering Cancer Center New York NY United States
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John Humm
1Memorial Sloan - Kettering Cancer Center New York NY United States
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Steven Larson
1Memorial Sloan - Kettering Cancer Center New York NY United States
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Andrea Apolo
2National Cancer Institute Bethesda MD United States
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William Dahut
2National Cancer Institute Bethesda MD United States
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Scott Perlman
5University of Wisconsin Carbone Cancer Center Madison WI United States
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Glenn Liu
5University of Wisconsin Carbone Cancer Center Madison WI United States
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Robert Jeraj
5University of Wisconsin Carbone Cancer Center Madison WI United States
3University of Wisconsin - Madison Madison WI United States
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Abstract

665

Objectives: Quantitative 18F-NaF PET/CT imaging has shown potential as a tool for identifying and monitoring malignant bone disease. However, natural fluctuations of 18F-NaF PET uptake within diseased and normal tissue have been observed. The aim of this study was to evaluate intra-patient variable uptake and evaluate the applicability of reference tissue normalization in quantitative 18F-NaF PET/CT.

Methods: Thirty-three metastatic castrate-resistant prostate cancer patients received whole body test-retest scans prior to therapy. Our in-house Quantitative Total Bone Imaging software was used to identify, segment, and match NaF-avid bone lesions between scans using bone-specific SUV thresholds. Mean uptake was derived from whole healthy skeleton (SUVskel), normal bone regions (SUVbone), and normal tissue regions (SUVtissue). To assess if fluctuations in normal uptake correlated with fluctuations in diseased uptake, linear mixed effects models were used to model the relationship between relative mean difference (RMD) of normal uptake with lesion SUVs. RMD of lesion SUVs was then reassessed following normalization by normal uptake. Intra-patient repeatability was measured with the 95% limits of agreement (LOA).

Results: A total of 601 lesions were identified in the bone; both SUVmax (LOA: 1.01 [0.76, 1.35]) and SUVmean (LOA: 1.00 [0.87, 1.16]) were derived from individual lesions. RMD of SUVskel was not correlated to RMD of lesion SUVs. RMDs of SUVtissue, in regions such as in the liver and brain, were not correlated to RMD of lesion SUVs. RMDs of SUVbone, in regions such as the lumbar spine and pelvis, were similar across all regions. RMD of lesion SUVmean was not correlated to SUVbone. RMD of lesion SUVmax was correlated to RMD of SUVbone (P = 0.02); however, the magnitude of this correlation was small. When SUVbone was used as reference regions to normalize lesion SUVmax, measurement repeatability degraded (LOA: 1.00 [0.69, 1.45]).

Conclusion: Variable tracer uptake across the whole healthy skeleton, within normal bone regions, and within normal tissue regions was poorly or not correlated to the variability in lesion uptake. Since reference tissue normalization is only useful when variations in reference region uptake and variations in diseased tissue uptake are linearly correlated, reference region normalization for quantitative 18F-NaF PET is not appropriate. Research Support: This study supported by Prostate Cancer Foundation Creativity Award, PCF Mazzone Challenge Award, and DOD PCRP Clinical Consortium Award, and conducted within the Prostate Cancer Clinical Trials Consortium.

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Journal of Nuclear Medicine
Vol. 58, Issue supplement 1
May 1, 2017
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An evaluation of reference tissue normalization in quantitative 18F-NaF PET/CT
Christie Lin, Timothy Perk, Tyler Bradshaw, Jens Eickhoff, Michael Morris, John Humm, Steven Larson, Andrea Apolo, William Dahut, Scott Perlman, Glenn Liu, Robert Jeraj
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 665;

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An evaluation of reference tissue normalization in quantitative 18F-NaF PET/CT
Christie Lin, Timothy Perk, Tyler Bradshaw, Jens Eickhoff, Michael Morris, John Humm, Steven Larson, Andrea Apolo, William Dahut, Scott Perlman, Glenn Liu, Robert Jeraj
Journal of Nuclear Medicine May 2017, 58 (supplement 1) 665;
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